Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria
The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the presen...
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Veröffentlicht in: | International journal of engineering research in Africa (Print) 2018-12, Vol.40, p.63-77 |
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creator | Ogunmokun-Akinmolu, Bukola Ojuri, Oluwapelumi O. Ola, Samuel A. Oluwatuyi, Opeyemi E. |
description | The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed. |
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TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</description><identifier>ISSN: 1663-3571</identifier><identifier>ISSN: 1663-4144</identifier><identifier>EISSN: 1663-4144</identifier><identifier>DOI: 10.4028/www.scientific.net/JERA.40.63</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><subject>Asphalt ; California bearing ratio ; Cambering ; Computer simulation ; Failure analysis ; Loads (forces) ; Mathematical models ; Parameters ; Pavements ; Penetration tests ; Ratings ; Roads ; Water table ; Water table depth ; Weight</subject><ispartof>International journal of engineering research in Africa (Print), 2018-12, Vol.40, p.63-77</ispartof><rights>2018 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. 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TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</description><subject>Asphalt</subject><subject>California bearing ratio</subject><subject>Cambering</subject><subject>Computer simulation</subject><subject>Failure analysis</subject><subject>Loads (forces)</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Pavements</subject><subject>Penetration tests</subject><subject>Ratings</subject><subject>Roads</subject><subject>Water table</subject><subject>Water table depth</subject><subject>Weight</subject><issn>1663-3571</issn><issn>1663-4144</issn><issn>1663-4144</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkFlrAjEUhYfSQsX6HwKlj6PZZnsoRax2QdviQh_DTBaNjDM2yVT8982g4Gufktx77jm5XxA8INinEKeDw-HQt1zLymmleb-SbvA-ng99sx-Tq6CD4piEFFF6fb6TKEG3Qc_aLYQQZzHGFHYCNbZO73KnqzWY17kAX_mv3HlXMMl12RgJFo3lcu90oUvtjmBlW2kOZrXwwVKA5fN8OFu0b1kCXYFF3bhN-C2tk6YCH3otjc7vghuVl1b2zmc3WE3Gy9FrOP18eRsNpyEnEXFhIVKUKF7wOIsShaHi1NdxxBFRUeH3FpJCygVUaUYKpChBmCYICiIgRrEg3eD-5Ls39U_j_8C2dWMqH8kwyhKSJlmEverxpOKmttZIxfbGQzBHhiBr6TJPl13oMk-XtXR9k8XEzz-d5p3JK78n31xi_ufwB0XhixE</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Ogunmokun-Akinmolu, Bukola</creator><creator>Ojuri, Oluwapelumi O.</creator><creator>Ola, Samuel A.</creator><creator>Oluwatuyi, Opeyemi E.</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-0499-6998</orcidid></search><sort><creationdate>20181201</creationdate><title>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</title><author>Ogunmokun-Akinmolu, Bukola ; Ojuri, Oluwapelumi O. ; Ola, Samuel A. ; Oluwatuyi, Opeyemi E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-bd817fcbc6957f20fc435325c13f5b402de404cd0f893b1f43124710d3d0216d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asphalt</topic><topic>California bearing ratio</topic><topic>Cambering</topic><topic>Computer simulation</topic><topic>Failure analysis</topic><topic>Loads (forces)</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Pavements</topic><topic>Penetration tests</topic><topic>Ratings</topic><topic>Roads</topic><topic>Water table</topic><topic>Water table depth</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ogunmokun-Akinmolu, Bukola</creatorcontrib><creatorcontrib>Ojuri, Oluwapelumi O.</creatorcontrib><creatorcontrib>Ola, Samuel A.</creatorcontrib><creatorcontrib>Oluwatuyi, Opeyemi E.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of engineering research in Africa (Print)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ogunmokun-Akinmolu, Bukola</au><au>Ojuri, Oluwapelumi O.</au><au>Ola, Samuel A.</au><au>Oluwatuyi, Opeyemi E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</atitle><jtitle>International journal of engineering research in Africa (Print)</jtitle><date>2018-12-01</date><risdate>2018</risdate><volume>40</volume><spage>63</spage><epage>77</epage><pages>63-77</pages><issn>1663-3571</issn><issn>1663-4144</issn><eissn>1663-4144</eissn><abstract>The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/JERA.40.63</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0499-6998</orcidid></addata></record> |
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subjects | Asphalt California bearing ratio Cambering Computer simulation Failure analysis Loads (forces) Mathematical models Parameters Pavements Penetration tests Ratings Roads Water table Water table depth Weight |
title | Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria |
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